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Microbiome-informed Computational Models and Decision Support Tools to Predict Fresh Produce Spoilage: Spinach as a Model System

Investigators
Wiedmann, Martin
Institutions
Cornell University
Start date
2019
End date
2022
Objective
Goal 1: Collect spinach at farms and processing facilities; conduct classical microbiological testing and 16S metagenomics; perform descriptive and inferential statistics on microbial and microbiome dataGoal 2: Conduct shelf life studies with spinach collected in Obj. 1 to track changes in microbiome and measure timing and extent of spinach spoilage under laboratory conditions that simulate typical environmental and management conditions at retailGoal 3: Develop a computational model of microbial dynamics over shelf life to serve as a decision support tool that allows for spinach spoilage prediction and assessment of different spoilage control strategies
Funding Source
Nat'l. Inst. of Food and Agriculture
Project source
View this project
Project number
NYC-143301
Accession number
1020879
Categories
Microbial Genetics